{"id":"W4403918450","doi":"10.1109/sm63044.2024.10733434","title":"A Novel Data-driven Incentive-based Charging Service Truncation Scheme To Improve the QoS Performance of Public EV Charging Stations","year":2024,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Quality of service; Incentive; Scheme (mathematics); Truncation (statistics); Computer science; Computer network; Telecommunications; Mathematics; Microeconomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001525956,0.0005366665,0.0006691241,0.0004644301,0.0006350807,0.000825223,0.002132283,0.000687209,0.002776911],"category_scores_gemma":[0.004084317,0.0001777065,0.0004260799,0.0006975936,0.0006589922,0.001196158,0.001635564,0.0009575576,0.0004106624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001128355,"about_ca_system_score_gemma":0.001770215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002480478,"about_ca_topic_score_gemma":0.00308665,"domain_scores_codex":[0.9991698,0.0002182982,0.00005498943,0.0001419858,0.000203257,0.0002116756],"domain_scores_gemma":[0.9983544,0.000566933,0.0002096297,0.0002635717,0.0003999044,0.0002055986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008570848,0.0005408696,0.004117687,0.0002965307,0.00007757147,0.0004837258,0.0002953388,0.7199879,0.030216,0.05874824,0.008255583,0.1761234],"study_design_scores_gemma":[0.00004304834,0.0001764068,0.0003160009,0.000009619243,0.00001591245,0.0001008036,0.0000375234,0.9890809,0.002349068,0.005141752,0.002710999,0.00001793728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1126225,0.0003545264,0.8740361,0.0006701188,0.0002724207,0.0003500361,0.0002747905,0.0009959439,0.01042364],"genre_scores_gemma":[0.9688615,0.00008507363,0.02911555,0.00009247292,0.00003552046,0.00006417776,0.00007602909,0.00002173638,0.001647905],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002776911,"threshold_uncertainty_score":0.009289742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02287572535033764,"score_gpt":0.240850864725374,"score_spread":0.2179751393750364,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}